NCBI PubMed Central
open access
Recent advances in defending the privacy attacks of large language models for healthcare applications: a concise review.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Privacy preserving strategies for electronic health records in the era of large language models#400485
- Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective#964761
- Protection of Patient's Privacy: The German Experience with Data Protection Laws.#461779
- Prompt injection attacks on educational large language models for higher and vocational education.#214210
- Health equity and public acceptance of large language models in healthcare in China: A national population-based survey.#418478
Record · ID 242322
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive